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Resilient power and propulsion system design for eVTOL aircraft
Creatore:
Altouq, Shadan
Data:
2024
Department, School or Faculty:
Rolls-Royce University Technology Centre and Department of Electronic and Electrical Engineering
The design of more-electric engine power systems
Creatore:
Zhang, Qiyang
Data:
2024
Department, School or Faculty:
Rolls-Royce University Technology Centre and Department of Electronic and Electrical Engineering
Automation for patient screening
Creatore:
Lawley, Alistair
Data:
2023 and 2024
Department, School or Faculty:
Department of Electronic and Electrical Engineering
Modelling the disintegration of pharmaceutical tablets: integrating a single particle swelling model with the discrete element method
Creatore:
Soundaranathan, Mithushan
Data:
2024
Department, School or Faculty:
Strathclyde Institute of Pharmacy and Biomedical Sciences and CMAC National Facility
Perspectives on Work and Employment HR503 exam papers
Department, School or Faculty:
Department of Work, Employment and Organisation
Functionalizing silk hydrogels with nanoparticles and fibres
Creatore:
Kaewchuchuen, Jirada
Data:
2023 and 2024
Funder:
Chulabhorn Royal Academy
Department, School or Faculty:
Strathclyde Institute of Pharmacy and Biomedical Sciences
Supporting the inclusion of children and young people, who experience autism spectrum disorder/ social communication difficulties, in mainstream classrooms
Creatore:
Campbell, Carole
Data:
2023
Department, School or Faculty:
Department of Psychological Sciences and Health
Landscapes of ‘Civilisation’ and ‘Barbarity’ in the 1641 Irish Rebellion
Creatore:
McDougall, Lauren
Data:
2023 and 2024
Department, School or Faculty:
Department of Humanities
Development of a novel integrated value engineering and risk assessment (VENRA) framework for shipyard performance measurement
Creatore:
Baihaqi, Imam
Data:
2024
Funder:
Beasiswa Pendidikan Pascasarjana Luar Negeri (BPPLN)
Department, School or Faculty:
Department of Naval Architecture, Ocean and Marine Engineering
Fundamental components of deep learning : a category-theoretic approach
Creatore:
Gavranović, Bruno
Data:
2024
Department, School or Faculty:
Department of Computer and Information Sciences
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